Database Paper Browser

Back to papers

Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework

Summary: Llama uses columnar storage with vertical partitioning via correlation groups to enable scalable join processing on a DFS-based MapReduce engine. A new join algorithm and TPC-H evaluation show faster loading and superior query performance vs Hive on EC2. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4446
Venue
SIGMOD
Year
2011
Pagerank
7.543505e-05
Overall Rank
3,115 | 78.34%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers